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Multimorbidity patterns in low-middle and high income regions: a multiregion latent class analysis using ATHLOS harmonised cohorts

dc.contributor.authorBayés Marín, Ivet
dc.contributor.authorSanchez-Niubo, Albert
dc.contributor.authorEgea Cortés, Laia
dc.contributor.authorNguyen, Hai
dc.contributor.authorPrina, Matthew
dc.contributor.authorFernández, Daniel
dc.contributor.authorHaro, Josep Maria
dc.contributor.authorOlaya, Beatriz
dc.date.accessioned2024-02-09T15:09:23Z
dc.date.issued2020
dc.identifier.issn2044-6055ca
dc.identifier.urihttp://hdl.handle.net/20.500.12328/4076
dc.description.abstractOur aim was to determine clusters of non-communicable diseases (NCDs) in a very large, population-based sample of middle-aged and older adults from low- and middle-income (LMICs) and high-income (HICs) regions. Additionally, we explored the associations with several covariates.ca
dc.format.extente034441-ca
dc.language.isoengca
dc.publisherBMJ Publishing Groupca
dc.relation.ispartofBMJ Publishing Groupca
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.otherhigh-income country (HICs)ca
dc.subject.otherLatent class analysis (LCA)ca
dc.subject.otherLow- and middle-income countries (LMICs)ca
dc.subject.otherMultimorbidityca
dc.subject.otherNon-communicable diseases (NCDs)ca
dc.titleMultimorbidity patterns in low-middle and high income regions: a multiregion latent class analysis using ATHLOS harmonised cohortsca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/embargoedAccess
dc.embargo.termsforeverca
dc.subject.udc61ca
dc.identifier.doi10.1136/bmjopen-2019-034441ca
dc.date.embargoEnd10000-01-01


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/
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